DeepSeek Harness plugin

win11-oneocr

Local Windows 11 OneOCR tool for DSH: `oneocr_recognize` returns OCR text and structured line/word polygons, confidence, rotation, and handwriting style.

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Source facts

Repository
hawkhai/win11-oneocr
Latest update
Aug 18, 2026
Category
Vision & Multimodal
GitHub stars
0

Install

Start with a prompt that asks an agent to read the source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to read the page and repository first.

Do not install anything yet. Read this DeepSeek Harness plugin and explain what it does, which files, networks, or credentials it can access, and how to install and remove it.

Plugin page: https://deepseekplugins.org/plugins/hawkhai/win11-oneocr
GitHub: https://github.com/hawkhai/win11-oneocr
Plugin: win11-oneocr
Author: hawkhai
Install command: dsh plugin --profile web add github:hawkhai/win11-oneocr

Do not run the install command until I confirm.

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer1 file
README.mdSource · read only

Windows 11 Snipping Tool OCR (OneOCR)

Offline OCR engine extracted from the Windows 11 Snipping Tool, with full-featured C++ CLI, reusable DLL wrapper, and Python visualization.

Based on: https://b1tg.github.io/post/win11-oneocr/

DeepSeek Harness plugin

This repository can be installed as a DeepSeek Harness plugin:

dsh plugin add github:hawkhai/win11-oneocr

It registers oneocr_recognize, a model-facing tool that accepts a local image path and returns recognized text together with OneOCR's structured line/word polygons, confidence values, image angle, and handwriting style. The tool runs locally on Windows 11; image bytes are not sent to an external OCR service.

The bundle defaults to the prebuilt bin/ocr.exe and its adjacent runtime files. Override ocrBin, timeoutMs, or maxOutputBytes in the plugin row if needed.

Features

FeatureDescription
8-point Bounding Box4-corner polygon bbox for lines and words (not just axis-aligned rect)
Word ConfidencePer-word recognition confidence score (0.0–1.0)
Image AngleDetected rotation angle of the text in the image
Line StyleHandwritten vs. printed text classification with confidence
Resize ResolutionConfigurable max internal resize before OCR (performance/accuracy trade-off)
Resource ReleaseProper cleanup via ReleaseOcrResult, ReleaseOcrPipeline, etc.
Unicode PathFull Unicode file path support via _wfopen in the DLL wrapper
Multi-image BatchProcess multiple images in one invocation
Plain Text Output--text mode for pipe-friendly output (no JSON)
Raw Buffer OCRocrImageRaw() for in-memory BGRA pixel buffers (no file I/O)
VisualizationPython script with confidence-colored word boxes and style labels

Prerequisites

  • Windows 11 (tested on 23H2+)
  • Snipping Tool 11.2409.25.0+

Copy these 3 files from the Snipping Tool installation folder into the same directory as ocr.exe:

  • oneocr.dll
  • oneocr.onemodel
  • onnxruntime.dll

Find the Snipping Tool folder:

Get-AppxPackage Microsoft.ScreenSketch | Select-Object -ExpandProperty InstallLocation

Example: C:\Program Files\WindowsApps\Microsoft.ScreenSketch_11.2409.25.0_x64__8wekyb3d8bbwe\SnippingTool

CLI Usage (ocr.exe)

ocr.exe <image1.png> [image2.jpg ...] [options]

Options

OptionDescription
--text, -tOutput plain text only (no JSON)
--output, -o <file>Write JSON to specified file (default: <image>.json)
--max-lines <n>Max recognition lines, 1–1000 (default 1000)
--resize <WxH>Max internal resize resolution (e.g. 1152x768)
--quiet, -qSuppress progress messages
--help, -hShow help

Examples

# Single image → JSON
ocr.exe screenshot.png

# Plain text output (pipe to file)
ocr.exe screenshot.png --text > result.txt

# Batch process
ocr.exe img1.png img2.jpg img3.bmp

# Custom options
ocr.exe photo.jpg --max-lines 50 --resize 800x600 -o result.json

JSON Output Format

{
  "file": "test.png",
  "image": { "width": 771, "height": 479, "step": 3084 },
  "image_angle": 0.0643,
  "line_count": 2,
  "lines": [
    {
      "index": 0,
      "text": "Hello World",
      "bounding_box": [
        13.0, 38.0, 458.0, 38.0,
        458.0, 77.0, 13.0, 76.0
      ],
      "style": { "type": "printed", "confidence": 0.035 },
      "word_count": 2,
      "words": [
        {
          "index": 0,
          "text": "Hello",
          "bounding_box": [
            14.35, 39.70, 140.35, 41.31,
            139.93, 73.42, 13.78, 74.09
          ],
          "confidence": 0.987
        }
      ]
    }
  ]
}

DLL Wrapper (oneocr_wrapper.dll)

A reusable C DLL wrapper with 3 main APIs:

FunctionDescription
initModel(model_dir)Load DLL + model, initialize pipeline
ocrImage(image_path, json, alloc)OCR an image file → JSON string
ocrImageEx(image_path, json, alloc, max_lines, resize_w, resize_h)OCR with configurable options
ocrImageRaw(pixel_data, w, h, step, json, alloc)OCR on raw BGRA pixel buffer
releaseModel()Clean up all resources

C++ Header-Only Usage (oneocr.h)

#include "oneocr.h"

OneOcr ocr;                               // loads oneocr_wrapper.dll
ocr.initModel(L".");                      // directory with oneocr.dll + .onemodel

std::string json;
ocr.ocrImage(L"test.png", json);          // basic OCR
ocr.ocrImageEx(L"test.png", json, 50);    // max 50 lines
ocr.ocrImageRaw(bgra_ptr, w, h, json);    // raw buffer OCR

Visualization (visualize.py)

python visualize.py <image_path> <json_path> [output_path]

Features:

  • 8-point polygon bounding boxes (lines in red, words colored by confidence)
  • Confidence score labels below each word
  • Handwritten lines highlighted in orange, printed in red
  • Image angle and line count overlay

Build

Requires: MSVC (Visual Studio), json.hpp (nlohmann/json), stb_image.h.

# Build CLI
cl /EHsc /O2 ocr.cpp /Fe:ocr.exe

# Build wrapper DLL
cl /EHsc /O2 /LD oneocr_wrapper.cpp /Fe:oneocr_wrapper.dll

# Build test
cl /EHsc /O2 oneocr_test.cpp /Fe:oneocr_test.exe

Other Implementations

DirectoryLanguageDescription
oneocr/PythonPyPI package with PIL/cv2 input, FastAPI web server
oneocr-rs/Rustcrates.io library with image crate, serde JSON
oneocr-cli/RustMinimal CLI, plain text output
win11_oneocr_py/PythonBasic ctypes script (original Python port)

Credits

License

MIT